Beatrice Thurner
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 1
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- vaccines and immunoinformatics approaches 2
- Co-authors
- Gerold Schuler (4 shared papers)Detlef Dieckmann (2 shared papers)Claudia Röder (2 shared papers)Eckhart Kämpgen (2 shared papers)Armin Bender (2 shared papers)Petra Keikavoussi (2 shared papers)Ina Haendle (1 shared paper)Helmut Jonuleit (1 shared paper)
- Journals
- International Archives of Allergy and Immunology (1 paper)Journal of Clinical Oncology (1 paper)Cellular Physiology and Biochemistry (1 paper)Journal of Immunological Methods (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Beatrice Thurner
5 papers receiving 1.5k citations
Beatrice Thurner's Hit Papers
Peers
Comparison fields: 5 of 66
- Immunology 1.4k
- Oncology 485
- Molecular Biology 593
- Virology 16
- Genetics 84
Countries citing papers authored by Beatrice Thurner
This map shows the geographic impact of Beatrice Thurner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Beatrice Thurner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice Thurner more than expected).
Fields of papers citing papers by Beatrice Thurner
This network shows the impact of papers produced by Beatrice Thurner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Beatrice Thurner. The network helps show where Beatrice Thurner may publish in the future.
Co-authors
The 21 scholars most cited alongside Beatrice Thurner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Vaccination with Mage-3a1 Peptide–Pulsed Mature, Monocyte-Derived Dendritic Cells Expands Specific Cytotoxic T Cells and Induces Regression of Some Metastases in Advanced Stage IV Melanoma Hit paper breakdown → | 1999 | 1047 |
| 2 | 1999 | 429 | |
| 3 | 2009 | 28 | |
| 4 | 1993 | 11 | |
| 5 | 2009 | 4 |
About Beatrice Thurner
Beatrice Thurner is a scholar working on Immunology, Molecular Biology, Oncology, Surgery and Clinical Biochemistry, having authored 5 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), vaccines and immunoinformatics approaches (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Metabolism and Genetic Disorders (1 paper), Immune Cell Function and Interaction (1 paper), Pancreatic function and diabetes (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (1.4k citations), Oncology (485 citations), Molecular Biology (593 citations), Virology (16 citations) and Genetics (84 citations). Beatrice Thurner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Gerold Schuler, Detlef Dieckmann, Claudia Röder, Eckhart Kämpgen, Armin Bender, Petra Keikavoussi, Ina Haendle, Helmut Jonuleit, Eva B. Bröcker and Peter Von Den Driesch. Their work appears in journals such as International Archives of Allergy and Immunology, Journal of Clinical Oncology, Cellular Physiology and Biochemistry, Journal of Immunological Methods and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.